meta-llama-3.1-8b-instruct
llama · 8B · 4bit
Mar 3, 2026 · Apple M4
smollm2:135m
llama · 134.52M · F16
Mar 2, 2026 · Apple M4
Global Score
76 vs 41
Hardware Fit
95 vs 100
Quality Score
68 vs 15
Hardware
meta-llama-3.1-8b-… smollm2:135m
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
meta-llama-3.1-8b-… smollm2:135m
Tokens/sec21.6241.0
TTFT512 ms39 ms
Load time0.0 s0.4 s
Memory usage0.0 GB0.6 GB
Memory %0%2%
HW Fit Score Breakdown
meta-llama-3.1-8b-instr…
Speed
35/40
TTFT
30/30
Memory
30/30
smollm2:135m
Speed
40/40
TTFT
30/30
Memory
30/30
Quality
meta-llama-3.1-8b-instr…
Reasoning
11/20
Coding
15/20
Instruction
14/20
Structured
14/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
smollm2:135m
Reasoning
4/20
Coding
1/20
Instruction
6/20
Structured
2/15
Math
1/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running